Of 60 answers

The most named companies in the study, and S&P 500 financials, with how many of their 60 AI answers named them.

SWIFT47/60TRANSUNION46/60EXPERIAN42/60COINSTAR41/60NAVY FEDERAL CREDIT UNION41/60ZELLE41/60BLOOMBERG L.P.38/60TRADINGVIEW38/60BANCO POPULAR DE PUERTO RICO37/60PAYPAL37/60VENMO37/60CHEXSYSTEMS33/60EQUIFAX33/60MORNINGSTAR32/60S&P GLOBAL31/60ALPACA MARKETS30/60COINBASE30/60PINWHEEL29/60STRIPE29/60XERO29/60ACORNS28/60AFFIRM28/60PAYFAST (PAYGATE)28/60PAYONEER28/60INTERACTIVE BROKERS26/60CHARLES SCHWAB19/60THE HARTFORD9/60MOODY'S21/60CME GROUP19/60ACCENTURE11/60CHUBB10/60MORGAN STANLEY6/60AMERICAN EXPRESS14/60SYNCHRONY FINANCIAL12/60FACTSET20/60NASDAQ19/60ALLSTATE11/60WELLS FARGO18/60PAYCHEX10/60ARES MANAGEMENT3/60
Rezolve Ai
MethodDemo
Back to the study
AI visibility statementFinance AI Visibility Study 2026Issued October 14, 2026
Account holder
M

MUFG

mufg.jp

Large national banksBanking

Money20/20 attendee

Statement period
October 9 to 14, 2026
when the AI assistants were asked
Account no.
1,243 of 2,219
its rank by overall score
Place in its category
28th of 61 large national banks
Closing balance

Named in

2of 60 answers

by 2 of 4 assistants

Statement note

What this means for MUFG

AI assistants rarely name this large national bank, mentioning it in 2 out of 60 answers. In some of those answers, Citigroup and Bank of America are also named. Its overall score is 27 out of 100, ranking 1,243rd of 2,219 companies. Its website passes 1 of 14 technical checks for readiness for AI tools.

We asked 15 unbranded questions about its market, so no question mentioned MUFG by name. AI assistants named it in 2 of the 60 answers. Counting only how often it is named, it ranks 136th of 394 in its sector. The typical banking company is named in 0.0% of answers.

Named fewer than three times in total. Read this as a sign that AI assistants rarely bring this company up, not as an exact comparison with its peers.

Overall score
27Overall score
  • Visibility5
  • Citations0
  • Sentiment50
  • Site quality87
  • AI readiness7
Summary of account
Named by AI in
3.3%
2 of 60 answers
Share of mentions
8.0%
of the mentions of it and its 5 peers
AI readiness
1/14
technical checks passed. Typical for its sector: 3
Rank in its sector
211 of 394
by overall score, where the typical banking company scores 28

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Line itemsSection 01

Every question, and where the company came up

MUFG came up on 2 of 15 questions. Open any window to read that answer.

  1. 01Common challenges when accessing international corporate banking services0/4
  2. 02How to resolve delays in cross-border payments with global financial institutions?0/4
  3. 03Is it worth using a comprehensive financial group for cross-border treasury management?0/4
  4. 04How do global financial services groups compare to regional banks for multinational businesses?0/4
  5. 05What other options exist for institutional investors seeking full-service financial solutions?0/4
  6. 06Are global banking groups reliable for complex wealth management needs?0/4
  7. 07What are the top global financial services groups for corporations expanding internationally?1/4
  8. 08Alternatives to large financial groups for international business banking needs0/4
  9. 09Most reliable global financial groups for personalized investment strategies0/4
  10. 10Use cases for international network banking for US-based institutional clients0/4
  11. 11Are premium banking services for businesses worth the added fees?0/4
  12. 12Differences between universal banks and investment banks for large corporate clients0/4
  13. 13Best full-service financial partners for institutional investors in the US1/4
  14. 14What factors influence the costs of global transaction banking services?0/4
  15. 15How can financial groups support corporate clients with mergers and acquisitions in multiple countries?0/4
Total namedOpenAI: 1/15Claude: 0/15Perplexity: 0/15Gemini: 1/15All assistants: 2/60
named the companyanswered without naming itdid not answer

Columns, left to right: OpenAI, Claude, Perplexity, Gemini. Across the study, on 50% of the questions where a company is named, only one AI assistant names it.

Transaction detailSection 02

What OpenAI actually said

An answer that names the company

OpenAInamed the company

“What are the top global financial services groups for corporations expanding internationally?”

… Mitsubishi UFJ Financial Group (MUFG), Mizuho, Sumitomo Mitsui (SMBC Group) — major Japanese banks with global corporate capabilities, good for Asia–Pacific connectivity.

Why these banks matter

Global footprint and local licenses — ability to open accounts, provide payments, trade finance and credit locally.

Global transaction banking (cash management, FX, payments) — essential for managing cross‑border working capital.

Trade and supply‑chain finance — letters of credit, guarantees and receivables financing for international trade.

Capital markets & financing — syndicated lo …

The AI’s answer as we received it, shortened and not checked for accuracy.

PayeesSection 03

Where the mentions went

The companies these answers named, and how the mentions were split between this company and its peers.

Also named

CompanyTimes named
  1. 01
    Citigroup
    3
  2. 02
    Bank of America
    2

Share of mentions

CompanyShare
  1. JPMorgan Chase & Co.
    32.0%
  2. Bank of America
    32.0%
  3. Citigroup
    20.0%
  4. MUFG
    8.0%
  5. Mizuho Financial Group
    4.0%
  6. Sumitomo Mitsui Financial Group (SMBC Group)
    4.0%
ReferrersSection 04

Websites the AI used as sources

How many times each website was listed as a source in these answers

  1. 01
    jpmorgan.com
    7
  2. 02
    usbank.com
    6
  3. 03
    morganstanley.com
    6
  4. 04
    bis.org
    6
  5. 05
    worldmetrics.org
    5
  6. 06
    statrys.com
    5
  7. 07
    airwallex.com
    5
  8. 08
    advisor.morganstanley.com
    5
  9. 09
    institutional.fidelity.com
    4
  10. 10
    theasianbanker.com
    4

MUFG is in the study as a large national bank.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

Gemini
1/15
OpenAI
1/15
Claude
0/15
Perplexity
0/15
Market comparisonSection 06

How MUFG compares with all 2,219 companies

Every tower is a company in the study, taller for a higher overall score and lit where AI assistants named it. Its own group stays lit. Hover a tower to see it, and click to open it.

What makes up the score

Each part is scored out of 100.

Visibility
5

How often AI assistants name the company, and how that compares with its peers

Citations
0

How often AI uses the company's own website as a source

Sentiment
50

How positively AI describes the company

Site quality
87

How well built the website's own pages are

AI readiness
7

How easily AI tools can read and use the website

Visibility is calculated from the answers on this page. How the score is built.

Against its sectorSection 07

Compared with banking companies

394 companies in this sector. The gold tick on each bar is the typical company.

Overall score
27
Ranks 211 of 394. Typical company: 28
Named in answers
3.3%
Ranks 136 of 394. Typical company: 0.0%
AI readiness
7
Ranks 362 of 394. Typical company: 29
Against its categorySection 08

Compared with large national banks

61 companies in this category. The gold tick on each bar is the typical company.

Overall score
27
Ranks 28 of 61. Typical company: 27
Named in answers
3.3%
Ranks 20 of 61. Typical company: 1.7%
AI readiness
7
Ranks 52 of 61. Typical company: 21
AI agentsSection 09

Ready for AI agents

What this website publishes for an AI agent to read, use and pay through, on a scale of six levels.

  1. 0
  2. 1
  3. 2
  4. 3
  5. 4
  6. 5

Level 0: Not yet agent-ready. Agents struggle to find basic information about the site.

To reach level 1:
  • 2 of robots.txt, Sitemap, Link headers
Can an AI agent check out here?

Not by itself. MUFG publishes none of the agent payment protocols we look for. An agent would have to click through the website like a person.

Agent payment protocols
  • x402Not present
  • MPPNot present
  • AP2Not present
  • ACPNot present
  • UCPNot present
Interfaces for AI agents
  • MCP Server CardNot present
  • A2A Agent CardNot present
  • Agent SkillsNot present
  • API CatalogNot present
  • llms.txtNot present
  • WebMCPCould not check
Show every check, for your technical team
Discoverability
0 of 100
  • robots.txtNot met

    Publish a valid robots.txt with crawl rules and a Sitemap line.

    study: 86.1%
  • SitemapNot met

    Serve an XML sitemap and reference it from robots.txt.

    study: 87.9%
  • Link headersNot met

    Send Link headers such as rel="api-catalog" or rel="describedby" on the homepage.

    study: 1.5%
  • DNS for AI DiscoveryNot present

    Advertise agent endpoints with SVCB records under _agents.

    study: 4.3%
Content accessibility
0 of 100
  • Markdown negotiationNot met

    Return a markdown version when asked with Accept: text/markdown, for example at the CDN.

    study: 6.2%
  • llms.txtNot met

    Publish an llms.txt with a short summary and the key links.

    study: 31.0%
Bot access control
0 of 100
  • AI bot rulesNot met

    Add explicit robots.txt groups for the main AI crawlers.

    study: 92.7%
  • Content SignalsNot met

    Add a Content-Signal line for search, ai-input and ai-train to robots.txt.

    study: 2.3%
  • Web Bot AuthNot present

    Only relevant if you run your own agents or crawlers: publish a signing key directory.

    study: 0.3%
APIs, auth and MCP
0 of 100
  • API CatalogNot met

    List public APIs in a linkset at /.well-known/api-catalog.

    study: 1.3%
  • OAuth discoveryNot met

    Publish OpenID Connect or OAuth server metadata under /.well-known.

    study: 6.3%
  • OAuth Protected ResourceNot met

    Serve protected resource metadata at /.well-known/oauth-protected-resource.

    study: 5.3%
  • auth.mdNot met

    Publish an auth.md describing how agents sign in.

    study: 0.2%
  • MCP Server CardNot met

    Offer an MCP server and publish its server card under /.well-known.

    study: 0.8%
  • A2A Agent CardNot met

    Publish an agent card at /.well-known/agent-card.json.

    study: 0.2%
  • Agent SkillsNot met

    Publish a skills index with the main tasks agents can do.

    study: 1.0%
  • WebMCPCould not check

    Register key actions such as search or cart as WebMCP tools.

    study: 0.0%
  • ARD manifestNot met

    Publish an ai-catalog.json listing every agent interface.

    study: 0.2%

Score 0 of 100 · 97% of checks could run · checked on October 9, 2026 · www.mufg.jp · 2,200 companies scanned

See how every company did, and how this was measured.

AI readinessSection 10

The checks behind the AI readiness score

1 of 14 passed. This list is for your technical team. The percentage is how many companies in the study pass each check.

These 14 checks ran during the audit and are what the AI readiness part of the overall score counts. The scan above ran later and is stricter on Link headers and Markdown, so a check can pass here and not there.

Show the 14 checks

Discoverability

  • Not metrobots.txt publishedstudy: 85.1%
  • Not metXML sitemapstudy: 79.4%
  • Not metHTTP Link headers (RFC 8288)study: 42.5%

Content Accessibility

  • Not metMarkdown content negotiationstudy: 7.4%
  • Not metllms.txt publishedstudy: 28.1%
  • PassedToken budget (page weight)study: 97.3%

Bot Access Control

  • Not metExplicit AI bot rulesstudy: 11.5%

API / Auth / MCP

  • Not metAPI Catalog (.well-known/api-catalog)study: 1.1%
  • Not metOAuth Authorization Server discoverystudy: 5.2%
  • Not metOAuth Protected Resource discoverystudy: 4.6%
  • Not metMCP Server Cardstudy: 0.2%
  • Not metA2A Agent Cardstudy: 0.0%
  • Not metWebMCP toolsstudy: 0.3%
  • Not metAgent Skills declaredstudy: 0.1%
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End of statement
All 2,219 companiesHow we measured this
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